cache_version int64 4 4 | status stringclasses 1
value | task stringclasses 10
values | calculation stringclasses 1
value | topk int64 2.05k 2.05k | m int64 16 16 | anchor_index int64 0 4 | anchor dict | num_documents int64 7.89k 414k | num_queries int64 76 142 | value_dtype stringclasses 1
value | token_id_dtype stringclasses 1
value | value_shape listlengths 2 2 | tail_policy stringclasses 1
value | model dict | tokenizer dict | dataset dict | sampling dict | anchor_config dict | prompt dict | shard_size int64 256 256 | completed_documents int64 7.89k 414k | truncated_documents int64 0 0 | sample_count dict | shards listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4 | complete | biology | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific concept or phenomenon discussed in this question or passage is:"
} | 57,359 | 103 | bfloat16 | int32 | [
57359,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/biology-00000-of-00001.parquet",
"sha256": "6e105c4f09d9a70b8a20ed6a4d0e386823a5545151df41b3f0e64eb5c5987829",
"size": 200655
}
],
"documents": [
{
"path": "documents/biology-00000-of-00001.parquet",
"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "e48bf5ede7c88e8c11861dc04cfce0383ed1efd68727a95571ef95390e8cc7b9",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific concept or phenomenon discussed in this question or passage is:"... | {
"anchors": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific concept or phenomenon discussed in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 57,359 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 917744,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 57359,
"size": 704827656
}
] |
4 | complete | biology | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "entity",
"template": "Text:\n\n{x}\n\nThe main organism, biological structure, or substance and its relevant property or role in this question or passage are:"
} | 57,359 | 103 | bfloat16 | int32 | [
57359,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/biology-00000-of-00001.parquet",
"sha256": "6e105c4f09d9a70b8a20ed6a4d0e386823a5545151df41b3f0e64eb5c5987829",
"size": 200655
}
],
"documents": [
{
"path": "documents/biology-00000-of-00001.parquet",
"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "e48bf5ede7c88e8c11861dc04cfce0383ed1efd68727a95571ef95390e8cc7b9",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific concept or phenomenon discussed in this question or passage is:"... | {
"anchors": [
{
"name": "entity",
"template": "Text:\n\n{x}\n\nThe main organism, biological structure, or substance and its relevant property or role in this question or passage are:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 57,359 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 917744,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 57359,
"size": 704827656
}
] |
4 | complete | biology | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "event",
"template": "Text:\n\n{x}\n\nThe process or mechanism described or asked about in this question or passage is:"
} | 57,359 | 103 | bfloat16 | int32 | [
57359,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/biology-00000-of-00001.parquet",
"sha256": "6e105c4f09d9a70b8a20ed6a4d0e386823a5545151df41b3f0e64eb5c5987829",
"size": 200655
}
],
"documents": [
{
"path": "documents/biology-00000-of-00001.parquet",
"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "e48bf5ede7c88e8c11861dc04cfce0383ed1efd68727a95571ef95390e8cc7b9",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific concept or phenomenon discussed in this question or passage is:"... | {
"anchors": [
{
"name": "event",
"template": "Text:\n\n{x}\n\nThe process or mechanism described or asked about in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 57,359 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 917744,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 57359,
"size": 704827656
}
] |
4 | complete | biology | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "outcome",
"template": "Text:\n\n{x}\n\nThe observation, relationship, or comparison described or questioned in this question or passage is:"
} | 57,359 | 103 | bfloat16 | int32 | [
57359,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/biology-00000-of-00001.parquet",
"sha256": "6e105c4f09d9a70b8a20ed6a4d0e386823a5545151df41b3f0e64eb5c5987829",
"size": 200655
}
],
"documents": [
{
"path": "documents/biology-00000-of-00001.parquet",
"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "e48bf5ede7c88e8c11861dc04cfce0383ed1efd68727a95571ef95390e8cc7b9",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific concept or phenomenon discussed in this question or passage is:"... | {
"anchors": [
{
"name": "outcome",
"template": "Text:\n\n{x}\n\nThe observation, relationship, or comparison described or questioned in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 57,359 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 917744,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 57359,
"size": 704827656
}
] |
4 | complete | earth_science | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific Earth or planetary science concept, phenomenon, or technical task discussed in this question or passage is:"
} | 121,249 | 116 | bfloat16 | int32 | [
121249,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/earth_science-00000-of-00001.parquet",
"sha256": "5d29f108701111984eb91c93d3e340a784a99df47dc11f43783d1b994010a91d",
"size": 184093
}
],
"documents": [
{
"path": "documents/earth_science-00000-of-00001.parquet... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "c51ae71c471e529b15ed16cdd8ca8bb2509e905a7a9dbb50b95cd945df42bd15",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific Earth or planetary science concept, phenomenon, or technical tas... | {
"anchors": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific Earth or planetary science concept, phenomenon, or technical task discussed in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 121,249 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 1939984,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 121249,
"size": 1489907984
}
] |
4 | complete | earth_science | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "entity",
"template": "Text:\n\n{x}\n\nThe main physical system, material, or data object and its relevant properties or state in this question or passage are:"
} | 121,249 | 116 | bfloat16 | int32 | [
121249,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/earth_science-00000-of-00001.parquet",
"sha256": "5d29f108701111984eb91c93d3e340a784a99df47dc11f43783d1b994010a91d",
"size": 184093
}
],
"documents": [
{
"path": "documents/earth_science-00000-of-00001.parquet... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "c51ae71c471e529b15ed16cdd8ca8bb2509e905a7a9dbb50b95cd945df42bd15",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific Earth or planetary science concept, phenomenon, or technical tas... | {
"anchors": [
{
"name": "entity",
"template": "Text:\n\n{x}\n\nThe main physical system, material, or data object and its relevant properties or state in this question or passage are:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 121,249 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 1939984,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 121249,
"size": 1489907984
}
] |
4 | complete | earth_science | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "process_or_method",
"template": "Text:\n\n{x}\n\nThe process or technical method described or asked about in this question or passage, expressed as a general principle without supplying an unstated explanation, is:"
} | 121,249 | 116 | bfloat16 | int32 | [
121249,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/earth_science-00000-of-00001.parquet",
"sha256": "5d29f108701111984eb91c93d3e340a784a99df47dc11f43783d1b994010a91d",
"size": 184093
}
],
"documents": [
{
"path": "documents/earth_science-00000-of-00001.parquet... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "c51ae71c471e529b15ed16cdd8ca8bb2509e905a7a9dbb50b95cd945df42bd15",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific Earth or planetary science concept, phenomenon, or technical tas... | {
"anchors": [
{
"name": "process_or_method",
"template": "Text:\n\n{x}\n\nThe process or technical method described or asked about in this question or passage, expressed as a general principle without supplying an unstated explanation, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 121,249 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 1939984,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 121249,
"size": 1489907984
}
] |
4 | complete | earth_science | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "condition_or_contrast",
"template": "Text:\n\n{x}\n\nThe decisive condition, contrast, or technical requirement stated in this question or passage that distinguishes this case from other cases on the same topic is:"
} | 121,249 | 116 | bfloat16 | int32 | [
121249,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/earth_science-00000-of-00001.parquet",
"sha256": "5d29f108701111984eb91c93d3e340a784a99df47dc11f43783d1b994010a91d",
"size": 184093
}
],
"documents": [
{
"path": "documents/earth_science-00000-of-00001.parquet... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "c51ae71c471e529b15ed16cdd8ca8bb2509e905a7a9dbb50b95cd945df42bd15",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific Earth or planetary science concept, phenomenon, or technical tas... | {
"anchors": [
{
"name": "condition_or_contrast",
"template": "Text:\n\n{x}\n\nThe decisive condition, contrast, or technical requirement stated in this question or passage that distinguishes this case from other cases on the same topic is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 121,249 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 1939984,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 121249,
"size": 1489907984
}
] |
4 | complete | economics | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific economic concept, institutional arrangement, or mathematical method underlying this question or passage, rather than its illustrative story, is:"
} | 50,220 | 103 | bfloat16 | int32 | [
50220,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/economics-00000-of-00001.parquet",
"sha256": "2a79f0f3a881c7c03a258cf8ef8ac2db1ca9080963252d9a020bb45a264aa037",
"size": 219518
}
],
"documents": [
{
"path": "documents/economics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "b8bc464d789337c82d4bec676ac4dfbbbf5dac996ce609918bf2f816ccbfdc1c",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific economic concept, institutional arrangement, or mathematical met... | {
"anchors": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific economic concept, institutional arrangement, or mathematical method underlying this question or passage, rather than its illustrative story, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 50,220 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 803520,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 50220,
"size": 617103624
}
] |
4 | complete | economics | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "agents_and_variables",
"template": "Text:\n\n{x}\n\nThe main economic agents, assets, or model variables and their roles in this question or passage, expressed in economic or mathematical terms, are:"
} | 50,220 | 103 | bfloat16 | int32 | [
50220,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/economics-00000-of-00001.parquet",
"sha256": "2a79f0f3a881c7c03a258cf8ef8ac2db1ca9080963252d9a020bb45a264aa037",
"size": 219518
}
],
"documents": [
{
"path": "documents/economics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "b8bc464d789337c82d4bec676ac4dfbbbf5dac996ce609918bf2f816ccbfdc1c",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific economic concept, institutional arrangement, or mathematical met... | {
"anchors": [
{
"name": "agents_and_variables",
"template": "Text:\n\n{x}\n\nThe main economic agents, assets, or model variables and their roles in this question or passage, expressed in economic or mathematical terms, are:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 50,220 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 803520,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 50220,
"size": 617103624
}
] |
4 | complete | economics | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "mechanism_or_method",
"template": "Text:\n\n{x}\n\nThe economic mechanism, institutional rule, or mathematical method described or asked about in this question or passage, without supplying an unstated explanation, is:"
} | 50,220 | 103 | bfloat16 | int32 | [
50220,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/economics-00000-of-00001.parquet",
"sha256": "2a79f0f3a881c7c03a258cf8ef8ac2db1ca9080963252d9a020bb45a264aa037",
"size": 219518
}
],
"documents": [
{
"path": "documents/economics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "b8bc464d789337c82d4bec676ac4dfbbbf5dac996ce609918bf2f816ccbfdc1c",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific economic concept, institutional arrangement, or mathematical met... | {
"anchors": [
{
"name": "mechanism_or_method",
"template": "Text:\n\n{x}\n\nThe economic mechanism, institutional rule, or mathematical method described or asked about in this question or passage, without supplying an unstated explanation, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 50,220 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 803520,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 50220,
"size": 617103624
}
] |
4 | complete | economics | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "quantity_or_relation",
"template": "Text:\n\n{x}\n\nThe economic or statistical quantity, relationship, or distinction examined in this question or passage, including its stated definition, measurement basis, or comparison, is:"
} | 50,220 | 103 | bfloat16 | int32 | [
50220,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/economics-00000-of-00001.parquet",
"sha256": "2a79f0f3a881c7c03a258cf8ef8ac2db1ca9080963252d9a020bb45a264aa037",
"size": 219518
}
],
"documents": [
{
"path": "documents/economics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "b8bc464d789337c82d4bec676ac4dfbbbf5dac996ce609918bf2f816ccbfdc1c",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific economic concept, institutional arrangement, or mathematical met... | {
"anchors": [
{
"name": "quantity_or_relation",
"template": "Text:\n\n{x}\n\nThe economic or statistical quantity, relationship, or distinction examined in this question or passage, including its stated definition, measurement basis, or comparison, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 50,220 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 803520,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 50220,
"size": 617103624
}
] |
4 | complete | leetcode | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "computational_goal",
"template": "Text:\n\n{x}\n\nThe quantity or result to compute for the task specified in this text, expressed in algorithmic terms without story details or example values, is:"
} | 413,932 | 142 | bfloat16 | int32 | [
413932,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/leetcode-00000-of-00001.parquet",
"sha256": "3c4aa60809c396ae806252f3713f636ebf808a235a27b382cdaf5978894f7fd0",
"size": 168560
}
],
"documents": [
{
"path": "documents/leetcode-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "56d7dd3662b6e7e20d9905dea809b5624b44a78eeb13ac624a6285c8f9f2add4",
"content": {
"version": 2,
"base": [
{
"name": "computational_goal",
"template": "Text:\n\n{x}\n\nThe quantity or result to compute for the task specified in this... | {
"anchors": [
{
"name": "computational_goal",
"template": "Text:\n\n{x}\n\nThe quantity or result to compute for the task specified in this text, expressed in algorithmic terms without story details or example values, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 413,932 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 6622912,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 413932,
"size": 5086396688
}
] |
4 | complete | leetcode | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "structural_relation",
"template": "Text:\n\n{x}\n\nThe underlying organization of the problem objects and the ordering, adjacency, or dependency relation between them in this text is:"
} | 413,932 | 142 | bfloat16 | int32 | [
413932,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/leetcode-00000-of-00001.parquet",
"sha256": "3c4aa60809c396ae806252f3713f636ebf808a235a27b382cdaf5978894f7fd0",
"size": 168560
}
],
"documents": [
{
"path": "documents/leetcode-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "56d7dd3662b6e7e20d9905dea809b5624b44a78eeb13ac624a6285c8f9f2add4",
"content": {
"version": 2,
"base": [
{
"name": "computational_goal",
"template": "Text:\n\n{x}\n\nThe quantity or result to compute for the task specified in this... | {
"anchors": [
{
"name": "structural_relation",
"template": "Text:\n\n{x}\n\nThe underlying organization of the problem objects and the ordering, adjacency, or dependency relation between them in this text is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 413,932 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 6622912,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 413932,
"size": 5086396688
}
] |
4 | complete | leetcode | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "state_transition",
"template": "Text:\n\n{x}\n\nThe move, choice, or update allowed by the task specified in this text, identifying what changes in one step, is:"
} | 413,932 | 142 | bfloat16 | int32 | [
413932,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/leetcode-00000-of-00001.parquet",
"sha256": "3c4aa60809c396ae806252f3713f636ebf808a235a27b382cdaf5978894f7fd0",
"size": 168560
}
],
"documents": [
{
"path": "documents/leetcode-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "56d7dd3662b6e7e20d9905dea809b5624b44a78eeb13ac624a6285c8f9f2add4",
"content": {
"version": 2,
"base": [
{
"name": "computational_goal",
"template": "Text:\n\n{x}\n\nThe quantity or result to compute for the task specified in this... | {
"anchors": [
{
"name": "state_transition",
"template": "Text:\n\n{x}\n\nThe move, choice, or update allowed by the task specified in this text, identifying what changes in one step, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 413,932 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 6622912,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 413932,
"size": 5086396688
}
] |
4 | complete | leetcode | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "feasibility_rule",
"template": "Text:\n\n{x}\n\nThe rule that makes a candidate solution valid or invalid for the task specified in this text, expressed independently of example values, is:"
} | 413,932 | 142 | bfloat16 | int32 | [
413932,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/leetcode-00000-of-00001.parquet",
"sha256": "3c4aa60809c396ae806252f3713f636ebf808a235a27b382cdaf5978894f7fd0",
"size": 168560
}
],
"documents": [
{
"path": "documents/leetcode-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "56d7dd3662b6e7e20d9905dea809b5624b44a78eeb13ac624a6285c8f9f2add4",
"content": {
"version": 2,
"base": [
{
"name": "computational_goal",
"template": "Text:\n\n{x}\n\nThe quantity or result to compute for the task specified in this... | {
"anchors": [
{
"name": "feasibility_rule",
"template": "Text:\n\n{x}\n\nThe rule that makes a candidate solution valid or invalid for the task specified in this text, expressed independently of example values, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 413,932 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 6622912,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 413932,
"size": 5086396688
}
] |
4 | complete | leetcode | doc_topk_ave | 2,048 | 16 | 4 | {
"name": "algorithmic_pattern",
"template": "Text:\n\n{x}\n\nThe reusable algorithmic idea relevant to the task specified in this text, based on its structure and allowed operations rather than story details or incidental function names, is:"
} | 413,932 | 142 | bfloat16 | int32 | [
413932,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/leetcode-00000-of-00001.parquet",
"sha256": "3c4aa60809c396ae806252f3713f636ebf808a235a27b382cdaf5978894f7fd0",
"size": 168560
}
],
"documents": [
{
"path": "documents/leetcode-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "56d7dd3662b6e7e20d9905dea809b5624b44a78eeb13ac624a6285c8f9f2add4",
"content": {
"version": 2,
"base": [
{
"name": "computational_goal",
"template": "Text:\n\n{x}\n\nThe quantity or result to compute for the task specified in this... | {
"anchors": [
{
"name": "algorithmic_pattern",
"template": "Text:\n\n{x}\n\nThe reusable algorithmic idea relevant to the task specified in this text, based on its structure and allowed operations rather than story details or incidental function names, is:"
}
],
"mode": "raw_anchors",
"m": ... | 256 | 413,932 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 6622912,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 413932,
"size": 5086396688
}
] |
4 | complete | pony | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "traversal_pattern",
"template": "Text:\n\n{x}\n\nThe data traversal pattern, including how iteration progresses or terminates, described or needed in this question or passage is:"
} | 7,894 | 112 | bfloat16 | int32 | [
7894,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/pony-00000-of-00001.parquet",
"sha256": "0c0718d3e0ef05da42f75b7c03e755d3e03d9fcdbd32b67dddd221768a8377d7",
"size": 27722
}
],
"documents": [
{
"path": "documents/pony-00000-of-00001.parquet",
"sha256"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "ae82e53802e047e563c8b73273b3437cb60f50fa884abed523213c95af5f2116",
"content": {
"version": 2,
"base": [
{
"name": "traversal_pattern",
"template": "Text:\n\n{x}\n\nThe data traversal pattern, including how iteration progresses or... | {
"anchors": [
{
"name": "traversal_pattern",
"template": "Text:\n\n{x}\n\nThe data traversal pattern, including how iteration progresses or terminates, described or needed in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 7,894 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 126304,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 7894,
"size": 97001736
}
] |
4 | complete | pony | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "loop_syntax",
"template": "Text:\n\n{x}\n\nDoes this teach or require basic Pony loops? Answer:"
} | 7,894 | 112 | bfloat16 | int32 | [
7894,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/pony-00000-of-00001.parquet",
"sha256": "0c0718d3e0ef05da42f75b7c03e755d3e03d9fcdbd32b67dddd221768a8377d7",
"size": 27722
}
],
"documents": [
{
"path": "documents/pony-00000-of-00001.parquet",
"sha256"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "ae82e53802e047e563c8b73273b3437cb60f50fa884abed523213c95af5f2116",
"content": {
"version": 2,
"base": [
{
"name": "traversal_pattern",
"template": "Text:\n\n{x}\n\nThe data traversal pattern, including how iteration progresses or... | {
"anchors": [
{
"name": "loop_syntax",
"template": "Text:\n\n{x}\n\nDoes this teach or require basic Pony loops? Answer:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 7,894 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 126304,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 7894,
"size": 97001736
}
] |
4 | complete | pony | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "variable_binding_syntax",
"template": "Text:\n\n{x}\n\nBasic Pony types, or library internals? Answer:"
} | 7,894 | 112 | bfloat16 | int32 | [
7894,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/pony-00000-of-00001.parquet",
"sha256": "0c0718d3e0ef05da42f75b7c03e755d3e03d9fcdbd32b67dddd221768a8377d7",
"size": 27722
}
],
"documents": [
{
"path": "documents/pony-00000-of-00001.parquet",
"sha256"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "ae82e53802e047e563c8b73273b3437cb60f50fa884abed523213c95af5f2116",
"content": {
"version": 2,
"base": [
{
"name": "traversal_pattern",
"template": "Text:\n\n{x}\n\nThe data traversal pattern, including how iteration progresses or... | {
"anchors": [
{
"name": "variable_binding_syntax",
"template": "Text:\n\n{x}\n\nBasic Pony types, or library internals? Answer:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 7,894 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 126304,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 7894,
"size": 97001736
}
] |
4 | complete | pony | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "conditional_syntax",
"template": "Text:\n\n{x}\n\nDoes this teach or require basic Pony functions? Answer:"
} | 7,894 | 112 | bfloat16 | int32 | [
7894,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
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"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
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{
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"sha256": "0c0718d3e0ef05da42f75b7c03e755d3e03d9fcdbd32b67dddd221768a8377d7",
"size": 27722
}
],
"documents": [
{
"path": "documents/pony-00000-of-00001.parquet",
"sha256"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "ae82e53802e047e563c8b73273b3437cb60f50fa884abed523213c95af5f2116",
"content": {
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"base": [
{
"name": "traversal_pattern",
"template": "Text:\n\n{x}\n\nThe data traversal pattern, including how iteration progresses or... | {
"anchors": [
{
"name": "conditional_syntax",
"template": "Text:\n\n{x}\n\nDoes this teach or require basic Pony functions? Answer:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 7,894 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 126304,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 7894,
"size": 97001736
}
] |
4 | complete | pony | doc_topk_ave | 2,048 | 16 | 4 | {
"name": "operator_expression_syntax",
"template": "Text:\n\n{x}\n\nArithmetic tutorial relevance (high/low):"
} | 7,894 | 112 | bfloat16 | int32 | [
7894,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
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{
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"sha256": "0c0718d3e0ef05da42f75b7c03e755d3e03d9fcdbd32b67dddd221768a8377d7",
"size": 27722
}
],
"documents": [
{
"path": "documents/pony-00000-of-00001.parquet",
"sha256"... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "ae82e53802e047e563c8b73273b3437cb60f50fa884abed523213c95af5f2116",
"content": {
"version": 2,
"base": [
{
"name": "traversal_pattern",
"template": "Text:\n\n{x}\n\nThe data traversal pattern, including how iteration progresses or... | {
"anchors": [
{
"name": "operator_expression_syntax",
"template": "Text:\n\n{x}\n\nArithmetic tutorial relevance (high/low):"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 7,894 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 126304,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 7894,
"size": 97001736
}
] |
4 | complete | psychology | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific psychological or neuroscientific concept, phenomenon, or research method discussed in this question or passage is:"
} | 52,835 | 101 | bfloat16 | int32 | [
52835,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/psychology-00000-of-00001.parquet",
"sha256": "404e7dff2a4528419df0bdc162541e92138e35b78918d82d3a04ade5b8f7876b",
"size": 183889
}
],
"documents": [
{
"path": "documents/psychology-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "f2d15b4850c3f64391e93795c3f2e1769d5dbbbd2d3ea4a3b9d7549c59392fc5",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific psychological or neuroscientific concept, phenomenon, or researc... | {
"anchors": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific psychological or neuroscientific concept, phenomenon, or research method discussed in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 52,835 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 845360,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 52835,
"size": 649236744
}
] |
4 | complete | psychology | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "entity",
"template": "Text:\n\n{x}\n\nThe stimulus, social interaction, or biological component involved and its relevant role in this question or passage are:"
} | 52,835 | 101 | bfloat16 | int32 | [
52835,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/psychology-00000-of-00001.parquet",
"sha256": "404e7dff2a4528419df0bdc162541e92138e35b78918d82d3a04ade5b8f7876b",
"size": 183889
}
],
"documents": [
{
"path": "documents/psychology-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "f2d15b4850c3f64391e93795c3f2e1769d5dbbbd2d3ea4a3b9d7549c59392fc5",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific psychological or neuroscientific concept, phenomenon, or researc... | {
"anchors": [
{
"name": "entity",
"template": "Text:\n\n{x}\n\nThe stimulus, social interaction, or biological component involved and its relevant role in this question or passage are:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 52,835 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 845360,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 52835,
"size": 649236744
}
] |
4 | complete | psychology | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "mechanism",
"template": "Text:\n\n{x}\n\nThe psychological, biological, or social mechanism, or methodological principle, described or asked about in this question or passage, without supplying an unstated explanation, is:"
} | 52,835 | 101 | bfloat16 | int32 | [
52835,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/psychology-00000-of-00001.parquet",
"sha256": "404e7dff2a4528419df0bdc162541e92138e35b78918d82d3a04ade5b8f7876b",
"size": 183889
}
],
"documents": [
{
"path": "documents/psychology-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "f2d15b4850c3f64391e93795c3f2e1769d5dbbbd2d3ea4a3b9d7549c59392fc5",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific psychological or neuroscientific concept, phenomenon, or researc... | {
"anchors": [
{
"name": "mechanism",
"template": "Text:\n\n{x}\n\nThe psychological, biological, or social mechanism, or methodological principle, described or asked about in this question or passage, without supplying an unstated explanation, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 52,835 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 845360,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 52835,
"size": 649236744
}
] |
4 | complete | psychology | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe specific cognitive function, sensory modality, or behavioral capacity affected or investigated in this text is:"
} | 52,835 | 101 | bfloat16 | int32 | [
52835,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/psychology-00000-of-00001.parquet",
"sha256": "404e7dff2a4528419df0bdc162541e92138e35b78918d82d3a04ade5b8f7876b",
"size": 183889
}
],
"documents": [
{
"path": "documents/psychology-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "f2d15b4850c3f64391e93795c3f2e1769d5dbbbd2d3ea4a3b9d7549c59392fc5",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific psychological or neuroscientific concept, phenomenon, or researc... | {
"anchors": [
{
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe specific cognitive function, sensory modality, or behavioral capacity affected or investigated in this text is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 52,835 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 845360,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 52835,
"size": 649236744
}
] |
4 | complete | psychology | doc_topk_ave | 2,048 | 16 | 4 | {
"name": "observed_effect",
"template": "Text:\n\n{x}\n\nThe behavioral or physiological observation, including the direction of the effect, described or questioned in this question or passage is:"
} | 52,835 | 101 | bfloat16 | int32 | [
52835,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/psychology-00000-of-00001.parquet",
"sha256": "404e7dff2a4528419df0bdc162541e92138e35b78918d82d3a04ade5b8f7876b",
"size": 183889
}
],
"documents": [
{
"path": "documents/psychology-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "f2d15b4850c3f64391e93795c3f2e1769d5dbbbd2d3ea4a3b9d7549c59392fc5",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific psychological or neuroscientific concept, phenomenon, or researc... | {
"anchors": [
{
"name": "observed_effect",
"template": "Text:\n\n{x}\n\nThe behavioral or physiological observation, including the direction of the effect, described or questioned in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 52,835 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 845360,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 52835,
"size": 649236744
}
] |
4 | complete | robotics | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "component_or_artifact",
"template": "Text:\n\n{x}\n\nThe specific hardware component, software package, API, or configuration artifact central to this text is:"
} | 61,961 | 101 | bfloat16 | int32 | [
61961,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/robotics-00000-of-00001.parquet",
"sha256": "621484c87c9ebae12f81e32a0a8c5d085af4b95cbe1b575ab40ae4b659adb53a",
"size": 178820
}
],
"documents": [
{
"path": "documents/robotics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "8d42cadc38c70c833b912fd4ef30d95a5824156271788af1e673894fbc3e72a2",
"content": {
"version": 2,
"base": [
{
"name": "component_or_artifact",
"template": "Text:\n\n{x}\n\nThe specific hardware component, software package, API, or co... | {
"anchors": [
{
"name": "component_or_artifact",
"template": "Text:\n\n{x}\n\nThe specific hardware component, software package, API, or configuration artifact central to this text is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 61,961 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 991376,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 61961,
"size": 761377032
}
] |
4 | complete | robotics | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "operation_or_goal",
"template": "Text:\n\n{x}\n\nThe technical operation or robotics capability described or sought in this text, expressed independently of a particular product or implementation, is:"
} | 61,961 | 101 | bfloat16 | int32 | [
61961,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/robotics-00000-of-00001.parquet",
"sha256": "621484c87c9ebae12f81e32a0a8c5d085af4b95cbe1b575ab40ae4b659adb53a",
"size": 178820
}
],
"documents": [
{
"path": "documents/robotics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "8d42cadc38c70c833b912fd4ef30d95a5824156271788af1e673894fbc3e72a2",
"content": {
"version": 2,
"base": [
{
"name": "component_or_artifact",
"template": "Text:\n\n{x}\n\nThe specific hardware component, software package, API, or co... | {
"anchors": [
{
"name": "operation_or_goal",
"template": "Text:\n\n{x}\n\nThe technical operation or robotics capability described or sought in this text, expressed independently of a particular product or implementation, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 61,961 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 991376,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 61961,
"size": 761377032
}
] |
4 | complete | robotics | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "interface_or_representation",
"template": "Text:\n\n{x}\n\nThe interface or representation through which the components in this text exchange commands, measurements, or state, including its data type or reference convention when stated, is:"
} | 61,961 | 101 | bfloat16 | int32 | [
61961,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/robotics-00000-of-00001.parquet",
"sha256": "621484c87c9ebae12f81e32a0a8c5d085af4b95cbe1b575ab40ae4b659adb53a",
"size": 178820
}
],
"documents": [
{
"path": "documents/robotics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
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"content": {
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"base": [
{
"name": "component_or_artifact",
"template": "Text:\n\n{x}\n\nThe specific hardware component, software package, API, or co... | {
"anchors": [
{
"name": "interface_or_representation",
"template": "Text:\n\n{x}\n\nThe interface or representation through which the components in this text exchange commands, measurements, or state, including its data type or reference convention when stated, is:"
}
],
"mode": "raw_anchors"... | 256 | 61,961 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 991376,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 61961,
"size": 761377032
}
] |
4 | complete | robotics | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "observable_behavior",
"template": "Text:\n\n{x}\n\nThe concrete output, error, timing behavior, or state change observed or specified in this text, without guessing its cause, is:"
} | 61,961 | 101 | bfloat16 | int32 | [
61961,
2048
] | discard | {
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"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
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"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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} | {
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{
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"size": 178820
}
],
"documents": [
{
"path": "documents/robotics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
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{
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{
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"template": "Text:\n\n{x}\n\nThe concrete output, error, timing behavior, or state change observed or specified in this text, without guessing its cause, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 61,961 | 0 | {
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"maximum": 16,
"sum": 991376,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 61961,
"size": 761377032
}
] |
4 | complete | robotics | doc_topk_ave | 2,048 | 16 | 4 | {
"name": "operating_requirement",
"template": "Text:\n\n{x}\n\nThe compatibility requirement or operating condition explicitly stated in this text that limits when the component or method can be used is:"
} | 61,961 | 101 | bfloat16 | int32 | [
61961,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
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"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
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"size": 178820
}
],
"documents": [
{
"path": "documents/robotics-00000-of-00001.parquet",
... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
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"version": 2,
"sha256": "8d42cadc38c70c833b912fd4ef30d95a5824156271788af1e673894fbc3e72a2",
"content": {
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"base": [
{
"name": "component_or_artifact",
"template": "Text:\n\n{x}\n\nThe specific hardware component, software package, API, or co... | {
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{
"name": "operating_requirement",
"template": "Text:\n\n{x}\n\nThe compatibility requirement or operating condition explicitly stated in this text that limits when the component or method can be used is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 61,961 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 991376,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 61961,
"size": 761377032
}
] |
4 | complete | stackoverflow | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "entity",
"template": "Text:\n\n{x}\n\nThe concrete software artifact named in this text—such as an API, command, type, configuration item, or data format—is:"
} | 107,081 | 117 | bfloat16 | int32 | [
107081,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
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"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
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"size": 250458
}
],
"documents": [
{
"path": "documents/stackoverflow-00000-of-00001.parquet... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "9af9a45b66981f3c1687598f771c74be623f84c9f62c427ecf2fe6890f35d974",
"content": {
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"base": [
{
"name": "goal",
"template": "Text:\n\n{x}\n\nThe problem-solving goal or software capability sought, offered, or clarified ... | {
"anchors": [
{
"name": "entity",
"template": "Text:\n\n{x}\n\nThe concrete software artifact named in this text—such as an API, command, type, configuration item, or data format—is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 107,081 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 1713296,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 107081,
"size": 1315811600
}
] |
4 | complete | stackoverflow | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "event",
"template": "Text:\n\n{x}\n\nThe operation or state transition performed or described in this text is:"
} | 107,081 | 117 | bfloat16 | int32 | [
107081,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
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"num_attention_heads": 32,
"num_key_value... | {
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} | {
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{
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}
],
"documents": [
{
"path": "documents/stackoverflow-00000-of-00001.parquet... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "9af9a45b66981f3c1687598f771c74be623f84c9f62c427ecf2fe6890f35d974",
"content": {
"version": 2,
"base": [
{
"name": "goal",
"template": "Text:\n\n{x}\n\nThe problem-solving goal or software capability sought, offered, or clarified ... | {
"anchors": [
{
"name": "event",
"template": "Text:\n\n{x}\n\nThe operation or state transition performed or described in this text is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 107,081 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 1713296,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 107081,
"size": 1315811600
}
] |
4 | complete | stackoverflow | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "outcome",
"template": "Text:\n\n{x}\n\nThe directly observable symptom, error signature, output form, or externally visible state described in this text is:"
} | 107,081 | 117 | bfloat16 | int32 | [
107081,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
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"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/stackoverflow-00000-of-00001.parquet",
"sha256": "97d417ba449ef70c9c9ae2937e9df106654a2554ce1533b090cb64b998a077e1",
"size": 250458
}
],
"documents": [
{
"path": "documents/stackoverflow-00000-of-00001.parquet... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
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"version": 2,
"sha256": "9af9a45b66981f3c1687598f771c74be623f84c9f62c427ecf2fe6890f35d974",
"content": {
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"base": [
{
"name": "goal",
"template": "Text:\n\n{x}\n\nThe problem-solving goal or software capability sought, offered, or clarified ... | {
"anchors": [
{
"name": "outcome",
"template": "Text:\n\n{x}\n\nThe directly observable symptom, error signature, output form, or externally visible state described in this text is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 107,081 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 1713296,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 107081,
"size": 1315811600
}
] |
4 | complete | stackoverflow | doc_topk_ave | 2,048 | 16 | 4 | {
"name": "mechanism",
"template": "Text:\n\n{x}\n\nThe language or framework rule governing the behavior discussed in this text, expressed as a general principle, is:"
} | 107,081 | 117 | bfloat16 | int32 | [
107081,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
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"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
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{
"path": "examples/stackoverflow-00000-of-00001.parquet",
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"size": 250458
}
],
"documents": [
{
"path": "documents/stackoverflow-00000-of-00001.parquet... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
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"version": 2,
"sha256": "9af9a45b66981f3c1687598f771c74be623f84c9f62c427ecf2fe6890f35d974",
"content": {
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"base": [
{
"name": "goal",
"template": "Text:\n\n{x}\n\nThe problem-solving goal or software capability sought, offered, or clarified ... | {
"anchors": [
{
"name": "mechanism",
"template": "Text:\n\n{x}\n\nThe language or framework rule governing the behavior discussed in this text, expressed as a general principle, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 107,081 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 1713296,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 107081,
"size": 1315811600
}
] |
4 | complete | sustainable_living | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe practical function or resource-management problem addressed by the product, system, or practice in this question or passage is:"
} | 60,792 | 108 | bfloat16 | int32 | [
60792,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
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"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
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"sha256": "61f97837a16b47a0d9953039cf0b6a53d0fc5deae96a34f839b7cb5e798eb117",
"size": 218151
}
],
"documents": [
{
"path": "documents/sustainable_living-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "72029c057e096bb3511cfc43baad6e2bfbb41a92d297dba0639375e681408059",
"content": {
"version": 2,
"base": [
{
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe practical function or resource-management problem addressed b... | {
"anchors": [
{
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe practical function or resource-management problem addressed by the product, system, or practice in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 60,792 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 972672,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 60792,
"size": 747012360
}
] |
4 | complete | sustainable_living | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "material_or_system",
"template": "Text:\n\n{x}\n\nThe main material, device, or organism and its relevant composition, design, or biological properties explicitly described in this question or passage are:"
} | 60,792 | 108 | bfloat16 | int32 | [
60792,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
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"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
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"sha256": "61f97837a16b47a0d9953039cf0b6a53d0fc5deae96a34f839b7cb5e798eb117",
"size": 218151
}
],
"documents": [
{
"path": "documents/sustainable_living-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "72029c057e096bb3511cfc43baad6e2bfbb41a92d297dba0639375e681408059",
"content": {
"version": 2,
"base": [
{
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe practical function or resource-management problem addressed b... | {
"anchors": [
{
"name": "material_or_system",
"template": "Text:\n\n{x}\n\nThe main material, device, or organism and its relevant composition, design, or biological properties explicitly described in this question or passage are:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 60,792 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 972672,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 60792,
"size": 747012360
}
] |
4 | complete | sustainable_living | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "mechanism_or_interaction",
"template": "Text:\n\n{x}\n\nThe physical, biological, economic, or behavioral mechanism described or questioned in this text, identifying what affects what without inventing an unstated explanation, is:"
} | 60,792 | 108 | bfloat16 | int32 | [
60792,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/sustainable_living-00000-of-00001.parquet",
"sha256": "61f97837a16b47a0d9953039cf0b6a53d0fc5deae96a34f839b7cb5e798eb117",
"size": 218151
}
],
"documents": [
{
"path": "documents/sustainable_living-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "72029c057e096bb3511cfc43baad6e2bfbb41a92d297dba0639375e681408059",
"content": {
"version": 2,
"base": [
{
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe practical function or resource-management problem addressed b... | {
"anchors": [
{
"name": "mechanism_or_interaction",
"template": "Text:\n\n{x}\n\nThe physical, biological, economic, or behavioral mechanism described or questioned in this text, identifying what affects what without inventing an unstated explanation, is:"
}
],
"mode": "raw_anchors",
"m": 1... | 256 | 60,792 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 972672,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 60792,
"size": 747012360
}
] |
4 | complete | sustainable_living | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "impact_or_performance_metric",
"template": "Text:\n\n{x}\n\nThe specific environmental burden, resource input, or performance measure assessed in this question or passage, including what is being compared, is:"
} | 60,792 | 108 | bfloat16 | int32 | [
60792,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
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"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
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"size": 218151
}
],
"documents": [
{
"path": "documents/sustainable_living-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "72029c057e096bb3511cfc43baad6e2bfbb41a92d297dba0639375e681408059",
"content": {
"version": 2,
"base": [
{
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe practical function or resource-management problem addressed b... | {
"anchors": [
{
"name": "impact_or_performance_metric",
"template": "Text:\n\n{x}\n\nThe specific environmental burden, resource input, or performance measure assessed in this question or passage, including what is being compared, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 60,792 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 972672,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 60792,
"size": 747012360
}
] |
4 | complete | sustainable_living | doc_topk_ave | 2,048 | 16 | 4 | {
"name": "assessment_scope",
"template": "Text:\n\n{x}\n\nThe life-cycle stages, operating conditions, or scale explicitly considered for the product or practice in this question or passage are:"
} | 60,792 | 108 | bfloat16 | int32 | [
60792,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
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"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
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"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
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"size": 218151
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],
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{
"path": "documents/sustainable_living-00000-of-000... | {
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"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
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"sha256": "72029c057e096bb3511cfc43baad6e2bfbb41a92d297dba0639375e681408059",
"content": {
"version": 2,
"base": [
{
"name": "functional_target",
"template": "Text:\n\n{x}\n\nThe practical function or resource-management problem addressed b... | {
"anchors": [
{
"name": "assessment_scope",
"template": "Text:\n\n{x}\n\nThe life-cycle stages, operating conditions, or scale explicitly considered for the product or practice in this question or passage are:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 60,792 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 972672,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 60792,
"size": 747012360
}
] |
4 | complete | theoremqa_theorems | doc_topk_ave | 2,048 | 16 | 0 | {
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific mathematical concept or method underlying this question or passage, expressed in mathematical terms rather than its illustrative story, is:"
} | 23,839 | 76 | bfloat16 | int32 | [
23839,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
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"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/theoremqa_theorems-00000-of-00001.parquet",
"sha256": "d11177052447457c45b73a9270ac4003d479d5264343d494f045af14325b88a3",
"size": 124476
}
],
"documents": [
{
"path": "documents/theoremqa_theorems-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "96753a98f59e3575a3b65a10815d4b3076fde33f786151b88cfde361a6105868",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific mathematical concept or method underlying this question or passa... | {
"anchors": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific mathematical concept or method underlying this question or passage, expressed in mathematical terms rather than its illustrative story, is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 23,839 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 381424,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 23839,
"size": 292933896
}
] |
4 | complete | theoremqa_theorems | doc_topk_ave | 2,048 | 16 | 1 | {
"name": "symbolic_relation",
"template": "Text:\n\n{x}\n\nThe mathematical equation, inequality, or counting relation described or needed in this question or passage is:"
} | 23,839 | 76 | bfloat16 | int32 | [
23839,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/theoremqa_theorems-00000-of-00001.parquet",
"sha256": "d11177052447457c45b73a9270ac4003d479d5264343d494f045af14325b88a3",
"size": 124476
}
],
"documents": [
{
"path": "documents/theoremqa_theorems-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "96753a98f59e3575a3b65a10815d4b3076fde33f786151b88cfde361a6105868",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific mathematical concept or method underlying this question or passa... | {
"anchors": [
{
"name": "symbolic_relation",
"template": "Text:\n\n{x}\n\nThe mathematical equation, inequality, or counting relation described or needed in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 23,839 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 381424,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 23839,
"size": 292933896
}
] |
4 | complete | theoremqa_theorems | doc_topk_ave | 2,048 | 16 | 2 | {
"name": "derivation_step",
"template": "Text:\n\n{x}\n\nThe intermediate mathematical transformation or construction used or needed in this question or passage is:"
} | 23,839 | 76 | bfloat16 | int32 | [
23839,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/theoremqa_theorems-00000-of-00001.parquet",
"sha256": "d11177052447457c45b73a9270ac4003d479d5264343d494f045af14325b88a3",
"size": 124476
}
],
"documents": [
{
"path": "documents/theoremqa_theorems-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "96753a98f59e3575a3b65a10815d4b3076fde33f786151b88cfde361a6105868",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific mathematical concept or method underlying this question or passa... | {
"anchors": [
{
"name": "derivation_step",
"template": "Text:\n\n{x}\n\nThe intermediate mathematical transformation or construction used or needed in this question or passage is:"
}
],
"mode": "raw_anchors",
"m": 16
} | 256 | 23,839 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 381424,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 23839,
"size": 292933896
}
] |
4 | complete | theoremqa_theorems | doc_topk_ave | 2,048 | 16 | 3 | {
"name": "outcome",
"template": "Text:\n\n{x}\n\nThe mathematical quantity, property, or relation sought, defined, or established in this question or passage, expressed generally without solving the problem or supplying an unstated conclusion, is:"
} | 23,839 | 76 | bfloat16 | int32 | [
23839,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/theoremqa_theorems-00000-of-00001.parquet",
"sha256": "d11177052447457c45b73a9270ac4003d479d5264343d494f045af14325b88a3",
"size": 124476
}
],
"documents": [
{
"path": "documents/theoremqa_theorems-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "96753a98f59e3575a3b65a10815d4b3076fde33f786151b88cfde361a6105868",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific mathematical concept or method underlying this question or passa... | {
"anchors": [
{
"name": "outcome",
"template": "Text:\n\n{x}\n\nThe mathematical quantity, property, or relation sought, defined, or established in this question or passage, expressed generally without solving the problem or supplying an unstated conclusion, is:"
}
],
"mode": "raw_anchors",
... | 256 | 23,839 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 381424,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 23839,
"size": 292933896
}
] |
4 | complete | theoremqa_theorems | doc_topk_ave | 2,048 | 16 | 4 | {
"name": "applicability_conditions",
"template": "Text:\n\n{x}\n\nThe mathematical objects, their domains, and the assumptions or constraints stated in this question or passage, expressed abstractly without story details or specific numerical values, are:"
} | 23,839 | 76 | bfloat16 | int32 | [
23839,
2048
] | discard | {
"family": "qwen3",
"parameter_scale": "8b",
"canonical_checkpoint": "Qwen/Qwen3-8B-Base",
"architecture": {
"model_type": "qwen3",
"architecture": "Qwen3ForCausalLM",
"hidden_size": 4096,
"intermediate_size": 12288,
"num_hidden_layers": 36,
"num_attention_heads": 32,
"num_key_value... | {
"class": "Qwen2TokenizerFast",
"vocab_size": 151669,
"fingerprint": "68ead42403e25d25c3017c5dc61cc073d8bd0bdb1cbe9a38ee8adc883c09d51c"
} | {
"files": {
"examples": [
{
"path": "examples/theoremqa_theorems-00000-of-00001.parquet",
"sha256": "d11177052447457c45b73a9270ac4003d479d5264343d494f045af14325b88a3",
"size": 124476
}
],
"documents": [
{
"path": "documents/theoremqa_theorems-00000-of-000... | {
"method": "fixed_pro",
"max_length": 32768,
"temperature": 1,
"greedy": true,
"average_probabilities_before_topk": true,
"token_ids_sorted": true
} | {
"source": "anchors.json",
"version": 2,
"sha256": "96753a98f59e3575a3b65a10815d4b3076fde33f786151b88cfde361a6105868",
"content": {
"version": 2,
"base": [
{
"name": "topic",
"template": "Text:\n\n{x}\n\nThe specific mathematical concept or method underlying this question or passa... | {
"anchors": [
{
"name": "applicability_conditions",
"template": "Text:\n\n{x}\n\nThe mathematical objects, their domains, and the assumptions or constraints stated in this question or passage, expressed abstractly without story details or specific numerical values, are:"
}
],
"mode": "raw_anc... | 256 | 23,839 | 0 | {
"minimum": 16,
"maximum": 16,
"sum": 381424,
"mean": 16
} | [
{
"file": "documents.safetensors",
"start": 0,
"end": 23839,
"size": 292933896
}
] |
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